Articles | Volume 12, issue 3
https://doi.org/10.5194/gmd-12-1189-2019
https://doi.org/10.5194/gmd-12-1189-2019
Model description paper
 | 
28 Mar 2019
Model description paper |  | 28 Mar 2019

Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change

Taesam Lee and Vijay P. Singh

Viewed

Total article views: 2,465 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,585 801 79 2,465 384 103 132
  • HTML: 1,585
  • PDF: 801
  • XML: 79
  • Total: 2,465
  • Supplement: 384
  • BibTeX: 103
  • EndNote: 132
Views and downloads (calculated since 12 Oct 2018)
Cumulative views and downloads (calculated since 12 Oct 2018)

Viewed (geographical distribution)

Total article views: 2,465 (including HTML, PDF, and XML) Thereof 2,284 with geography defined and 181 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Sep 2025
Download
Short summary
A simple novel technique for simulating multisite occurrence of precipitation is proposed. The proposed technique employs the nonparametric approaches k-nearest neighbor and genetic algorithms. We tested this technique in various ways and proved that this simple technique can be useful and comparable to the existing one.
Share